create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import matplotlib.pyplot as plt
+from sentence_transformers import SentenceTransformer
+
+def predict(im1, im2):
+  model = SentenceTransformer('sentence-transformers/clip-ViT-B-16')
+  emb = model.encode([im1, im2])
+  sim = cosine_similarity(emb)[0][1]
+  if sim > .90:
+    return sim, "SAME PERSON, UNLOCK PHONE"
+  else:
+    return sim, "DIFFERENT PEOPLE, DON'T UNLOCK"
+      
+interface = gr.Interface(fn=predict, 
+                         inputs= [gr.Image(type="pil", source="webcam"), 
+                                  gr.Image(type="pil", source="webcam")], 
+                         outputs= [gr.Number(label="Similarity"),
+                                   gr.Textbox(label="Message")]
+                         )
+
+interface.launch(debug=True)